At present, one of the solutions to the small file problem on the HDFS is to merge the files into bigger files and then store them.
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The core idea of this architecture is that merge the small images and video files to a Bundle, and provide a unified interface to handle mass images and videos.
Abstract. The development of the Internet-of-Things (IoT) and the Cyber-. Physical System (CPS) has greatly facilitated many aspects of technological.
Detailed Record ; Title: An Optimized Method of HDFS for Massive Small Files Storage. ; Language: English ; Authors: Weipeng Jing1,2 weipeng.jing@outlook.com
Experimental results show that the proposed Dynamic Queue of Small Files algorithm could effectively reduce memory use and improve the storage efficiency of ...
It designs an appropriate queue for files of different sizes, which are as the basis for merge of small files. The method based on Analytic Hierarchy Process.
TL;DR: Experimental results show that the proposed Dynamic Queue of Small Files algorithm could effectively reduce memory use and improve the storage efficiency ...
HDFS uses MapReduce programming model for parallel processing. The work presented in this paper proposes a novel Hadoop plugin to process image files with ...
Aug 21, 2015 · So, Hadoop takes your massive file, breaks it into a bunch of 64 mb chunks (called blocks), spreads those blocks across all the worker nodes in ...
HDFS is designed for storing large files with streaming data access patterns (White, 2010), which is suitable for the analysis of large datasets, such as ...